Overview
Brought to you by YData
Dataset statistics
| Dataset A | Dataset B | |
|---|---|---|
| Number of variables | 12 | 12 |
| Number of observations | 446 | 446 |
| Missing cells | 443 | 432 |
| Missing cells (%) | 8.3% | 8.1% |
| Duplicate rows | 0 | 0 |
| Duplicate rows (%) | 0.0% | 0.0% |
| Total size in memory | 45.3 KiB | 45.3 KiB |
| Average record size in memory | 104.0 B | 104.0 B |
Variable types
| Dataset A | Dataset B | |
|---|---|---|
| Numeric | 5 | 5 |
| Categorical | 4 | 4 |
| Text | 3 | 3 |
| Dataset A | Dataset B | |
|---|---|---|
Sex is highly overall correlated with Survived | Sex is highly overall correlated with Survived | High correlation |
Survived is highly overall correlated with Sex | Survived is highly overall correlated with Sex | High correlation |
Age has 91 (20.4%) missing values | Age has 89 (20.0%) missing values | Missing |
Cabin has 350 (78.5%) missing values | Cabin has 342 (76.7%) missing values | Missing |
PassengerId has unique values | PassengerId has unique values | Unique |
Name has unique values | Name has unique values | Unique |
SibSp has 308 (69.1%) zeros | SibSp has 308 (69.1%) zeros | Zeros |
Parch has 340 (76.2%) zeros | Parch has 343 (76.9%) zeros | Zeros |
Fare has 6 (1.3%) zeros | Fare has 11 (2.5%) zeros | Zeros |
Reproduction
| Dataset A | Dataset B | |
|---|---|---|
| Analysis started | 2025-03-05 15:19:05.669029 | 2025-03-05 15:19:08.170735 |
| Analysis finished | 2025-03-05 15:19:08.167522 | 2025-03-05 15:19:10.646825 |
| Duration | 2.5 seconds | 2.48 seconds |
| Software version | ydata-profiling v0.0.dev0 | ydata-profiling v0.0.dev0 |
| Download configuration | config.json | config.json |
Variables
PassengerId
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 446 | 446 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 440.91704 | 443.95067 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 5 | 1 |
| Maximum | 890 | 890 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 5 | 1 |
| 5-th percentile | 45.5 | 46.5 |
| Q1 | 207.5 | 205.5 |
| median | 432 | 443.5 |
| Q3 | 678.75 | 678.75 |
| 95-th percentile | 854.75 | 845.75 |
| Maximum | 890 | 890 |
| Range | 885 | 889 |
| Interquartile range (IQR) | 471.25 | 473.25 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 266.47689 | 261.86245 |
| Coefficient of variation (CV) | 0.60436968 | 0.58984583 |
| Kurtosis | -1.277178 | -1.2697806 |
| Mean | 440.91704 | 443.95067 |
| Median Absolute Deviation (MAD) | 236.5 | 236.5 |
| Skewness | 0.06262959 | 0.0095143986 |
| Sum | 196649 | 198002 |
| Variance | 71009.932 | 68571.944 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 737 | 1 | 0.2% |
| 418 | 1 | 0.2% |
| 875 | 1 | 0.2% |
| 820 | 1 | 0.2% |
| 151 | 1 | 0.2% |
| 389 | 1 | 0.2% |
| 889 | 1 | 0.2% |
| 623 | 1 | 0.2% |
| 311 | 1 | 0.2% |
| 203 | 1 | 0.2% |
| Other values (436) | 436 |
| Value | Count | Frequency (%) |
| 462 | 1 | 0.2% |
| 875 | 1 | 0.2% |
| 9 | 1 | 0.2% |
| 693 | 1 | 0.2% |
| 96 | 1 | 0.2% |
| 755 | 1 | 0.2% |
| 40 | 1 | 0.2% |
| 27 | 1 | 0.2% |
| 225 | 1 | 0.2% |
| 423 | 1 | 0.2% |
| Other values (436) | 436 |
| Value | Count | Frequency (%) |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 18 | 1 | |
| 22 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 18 | 1 | |
| 22 | 1 |
| Value | Count | Frequency (%) |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 |
Survived
Categorical
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 2 | 2 |
| Distinct (%) | 0.4% | 0.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
| 0 | |
|---|---|
| 1 |
| 0 | |
|---|---|
| 1 |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 1 | 1 |
| Median length | 1 | 1 |
| Mean length | 1 | 1 |
| Min length | 1 | 1 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | 1 | 1 |
| 2nd row | 1 | 1 |
| 3rd row | 0 | 1 |
| 4th row | 0 | 0 |
| 5th row | 0 | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 273 | |
| 1 | 173 |
| Value | Count | Frequency (%) |
| 0 | 278 | |
| 1 | 168 |
Length
Histogram of lengths of the category
Common Values (Plot)
Dataset A
Dataset B
| Value | Count | Frequency (%) |
| 0 | 273 | |
| 1 | 173 |
| Value | Count | Frequency (%) |
| 0 | 278 | |
| 1 | 168 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 273 | |
| 1 | 173 |
| Value | Count | Frequency (%) |
| 0 | 278 | |
| 1 | 168 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 273 | |
| 1 | 173 |
| Value | Count | Frequency (%) |
| 0 | 278 | |
| 1 | 168 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 273 | |
| 1 | 173 |
| Value | Count | Frequency (%) |
| 0 | 278 | |
| 1 | 168 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 273 | |
| 1 | 173 |
| Value | Count | Frequency (%) |
| 0 | 278 | |
| 1 | 168 |
Pclass
Categorical
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 3 | 3 |
| Distinct (%) | 0.7% | 0.7% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
| 3 | |
|---|---|
| 1 | |
| 2 |
| 3 | |
|---|---|
| 1 | |
| 2 |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 1 | 1 |
| Median length | 1 | 1 |
| Mean length | 1 | 1 |
| Min length | 1 | 1 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | 2 | 2 |
| 2nd row | 2 | 3 |
| 3rd row | 3 | 3 |
| 4th row | 2 | 3 |
| 5th row | 3 | 2 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 251 | |
| 1 | 105 | |
| 2 | 90 | 20.2% |
| Value | Count | Frequency (%) |
| 3 | 233 | |
| 1 | 114 | |
| 2 | 99 |
Length
Histogram of lengths of the category
Common Values (Plot)
Dataset A
Dataset B
| Value | Count | Frequency (%) |
| 3 | 251 | |
| 1 | 105 | |
| 2 | 90 | 20.2% |
| Value | Count | Frequency (%) |
| 3 | 233 | |
| 1 | 114 | |
| 2 | 99 |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 251 | |
| 1 | 105 | |
| 2 | 90 | 20.2% |
| Value | Count | Frequency (%) |
| 3 | 233 | |
| 1 | 114 | |
| 2 | 99 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 3 | 251 | |
| 1 | 105 | |
| 2 | 90 | 20.2% |
| Value | Count | Frequency (%) |
| 3 | 233 | |
| 1 | 114 | |
| 2 | 99 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 3 | 251 | |
| 1 | 105 | |
| 2 | 90 | 20.2% |
| Value | Count | Frequency (%) |
| 3 | 233 | |
| 1 | 114 | |
| 2 | 99 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 3 | 251 | |
| 1 | 105 | |
| 2 | 90 | 20.2% |
| Value | Count | Frequency (%) |
| 3 | 233 | |
| 1 | 114 | |
| 2 | 99 |
Name
['Text', 'Text']
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 446 | 446 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 65 | 82 |
| Median length | 48 | 47 |
| Mean length | 26.008969 | 27.116592 |
| Min length | 12 | 12 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 446 | 446 ? |
| Unique (%) | 100.0% | 100.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | Silven, Miss. Lyyli Karoliina | Abelson, Mrs. Samuel (Hannah Wizosky) |
| 2nd row | Abelson, Mrs. Samuel (Hannah Wizosky) | Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) |
| 3rd row | Skoog, Master. Karl Thorsten | Lam, Mr. Ali |
| 4th row | Bateman, Rev. Robert James | Shorney, Mr. Charles Joseph |
| 5th row | Sadlier, Mr. Matthew | Herman, Mrs. Samuel (Jane Laver) |
| Value | Count | Frequency (%) |
| mr | 258 | 14.6% |
| miss | 102 | 5.8% |
| mrs | 61 | 3.5% |
| william | 29 | 1.6% |
| henry | 18 | 1.0% |
| john | 18 | 1.0% |
| master | 17 | 1.0% |
| george | 14 | 0.8% |
| mary | 12 | 0.7% |
| james | 12 | 0.7% |
| Other values (874) | 1224 |
| Value | Count | Frequency (%) |
| mr | 266 | 14.6% |
| miss | 90 | 5.0% |
| mrs | 63 | 3.5% |
| william | 34 | 1.9% |
| john | 24 | 1.3% |
| henry | 16 | 0.9% |
| master | 16 | 0.9% |
| charles | 15 | 0.8% |
| thomas | 14 | 0.8% |
| george | 14 | 0.8% |
| Other values (902) | 1265 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1319 | 11.4% | |
| r | 941 | 8.1% |
| e | 828 | 7.1% |
| a | 798 | 6.9% |
| i | 655 | 5.6% |
| s | 636 | 5.5% |
| n | 635 | 5.5% |
| M | 561 | 4.8% |
| l | 502 | 4.3% |
| o | 467 | 4.0% |
| Other values (50) | 4258 |
| Value | Count | Frequency (%) |
| 1373 | 11.4% | |
| r | 1005 | 8.3% |
| e | 866 | 7.2% |
| a | 832 | 6.9% |
| i | 672 | 5.6% |
| n | 656 | 5.4% |
| s | 641 | 5.3% |
| M | 553 | 4.6% |
| l | 541 | 4.5% |
| o | 523 | 4.3% |
| Other values (49) | 4432 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 11600 |
| Value | Count | Frequency (%) |
| (unknown) | 12094 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1319 | 11.4% | |
| r | 941 | 8.1% |
| e | 828 | 7.1% |
| a | 798 | 6.9% |
| i | 655 | 5.6% |
| s | 636 | 5.5% |
| n | 635 | 5.5% |
| M | 561 | 4.8% |
| l | 502 | 4.3% |
| o | 467 | 4.0% |
| Other values (50) | 4258 |
| Value | Count | Frequency (%) |
| 1373 | 11.4% | |
| r | 1005 | 8.3% |
| e | 866 | 7.2% |
| a | 832 | 6.9% |
| i | 672 | 5.6% |
| n | 656 | 5.4% |
| s | 641 | 5.3% |
| M | 553 | 4.6% |
| l | 541 | 4.5% |
| o | 523 | 4.3% |
| Other values (49) | 4432 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 11600 |
| Value | Count | Frequency (%) |
| (unknown) | 12094 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1319 | 11.4% | |
| r | 941 | 8.1% |
| e | 828 | 7.1% |
| a | 798 | 6.9% |
| i | 655 | 5.6% |
| s | 636 | 5.5% |
| n | 635 | 5.5% |
| M | 561 | 4.8% |
| l | 502 | 4.3% |
| o | 467 | 4.0% |
| Other values (50) | 4258 |
| Value | Count | Frequency (%) |
| 1373 | 11.4% | |
| r | 1005 | 8.3% |
| e | 866 | 7.2% |
| a | 832 | 6.9% |
| i | 672 | 5.6% |
| n | 656 | 5.4% |
| s | 641 | 5.3% |
| M | 553 | 4.6% |
| l | 541 | 4.5% |
| o | 523 | 4.3% |
| Other values (49) | 4432 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 11600 |
| Value | Count | Frequency (%) |
| (unknown) | 12094 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1319 | 11.4% | |
| r | 941 | 8.1% |
| e | 828 | 7.1% |
| a | 798 | 6.9% |
| i | 655 | 5.6% |
| s | 636 | 5.5% |
| n | 635 | 5.5% |
| M | 561 | 4.8% |
| l | 502 | 4.3% |
| o | 467 | 4.0% |
| Other values (50) | 4258 |
| Value | Count | Frequency (%) |
| 1373 | 11.4% | |
| r | 1005 | 8.3% |
| e | 866 | 7.2% |
| a | 832 | 6.9% |
| i | 672 | 5.6% |
| n | 656 | 5.4% |
| s | 641 | 5.3% |
| M | 553 | 4.6% |
| l | 541 | 4.5% |
| o | 523 | 4.3% |
| Other values (49) | 4432 |
Sex
Categorical
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 2 | 2 |
| Distinct (%) | 0.4% | 0.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
| male | |
|---|---|
| female |
| male | |
|---|---|
| female |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 6 | 6 |
| Median length | 4 | 4 |
| Mean length | 4.7399103 | 4.7040359 |
| Min length | 4 | 4 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | female | female |
| 2nd row | female | female |
| 3rd row | male | male |
| 4th row | male | male |
| 5th row | male | female |
Common Values
| Value | Count | Frequency (%) |
| male | 281 | |
| female | 165 |
| Value | Count | Frequency (%) |
| male | 289 | |
| female | 157 |
Length
Histogram of lengths of the category
Common Values (Plot)
Dataset A
Dataset B
| Value | Count | Frequency (%) |
| male | 281 | |
| female | 165 |
| Value | Count | Frequency (%) |
| male | 289 | |
| female | 157 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 611 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 165 | 7.8% |
| Value | Count | Frequency (%) |
| e | 603 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 157 | 7.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2114 |
| Value | Count | Frequency (%) |
| (unknown) | 2098 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| e | 611 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 165 | 7.8% |
| Value | Count | Frequency (%) |
| e | 603 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 157 | 7.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2114 |
| Value | Count | Frequency (%) |
| (unknown) | 2098 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| e | 611 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 165 | 7.8% |
| Value | Count | Frequency (%) |
| e | 603 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 157 | 7.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2114 |
| Value | Count | Frequency (%) |
| (unknown) | 2098 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| e | 611 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 165 | 7.8% |
| Value | Count | Frequency (%) |
| e | 603 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 157 | 7.5% |
Age
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 78 | 75 |
| Distinct (%) | 22.0% | 21.0% |
| Missing | 91 | 89 |
| Missing (%) | 20.4% | 20.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 29.961746 | 30.252577 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0.42 | 0.67 |
| Maximum | 80 | 71 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0.42 | 0.67 |
| 5-th percentile | 5 | 6.8 |
| Q1 | 20 | 21 |
| median | 28 | 28.5 |
| Q3 | 39 | 39 |
| 95-th percentile | 58 | 56.2 |
| Maximum | 80 | 71 |
| Range | 79.58 | 70.33 |
| Interquartile range (IQR) | 19 | 18 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 14.983298 | 14.189995 |
| Coefficient of variation (CV) | 0.50008092 | 0.46905079 |
| Kurtosis | 0.27959368 | 0.10180537 |
| Mean | 29.961746 | 30.252577 |
| Median Absolute Deviation (MAD) | 9 | 8.5 |
| Skewness | 0.51784624 | 0.43054085 |
| Sum | 10636.42 | 10800.17 |
| Variance | 224.49921 | 201.35597 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 19 | 17 | 3.8% |
| 30 | 16 | 3.6% |
| 22 | 15 | 3.4% |
| 25 | 13 | 2.9% |
| 18 | 13 | 2.9% |
| 24 | 13 | 2.9% |
| 28 | 12 | 2.7% |
| 32 | 11 | 2.5% |
| 21 | 11 | 2.5% |
| 36 | 10 | 2.2% |
| Other values (68) | 224 | |
| (Missing) | 91 |
| Value | Count | Frequency (%) |
| 24 | 18 | 4.0% |
| 30 | 14 | 3.1% |
| 28 | 14 | 3.1% |
| 18 | 14 | 3.1% |
| 22 | 12 | 2.7% |
| 29 | 12 | 2.7% |
| 25 | 11 | 2.5% |
| 19 | 11 | 2.5% |
| 34 | 11 | 2.5% |
| 26 | 10 | 2.2% |
| Other values (65) | 230 | |
| (Missing) | 89 | 20.0% |
| Value | Count | Frequency (%) |
| 0.42 | 1 | 0.2% |
| 0.67 | 1 | 0.2% |
| 0.75 | 2 | 0.4% |
| 0.83 | 1 | 0.2% |
| 1 | 4 | |
| 2 | 2 | 0.4% |
| 3 | 1 | 0.2% |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0.67 | 1 | 0.2% |
| 1 | 2 | 0.4% |
| 2 | 4 | |
| 3 | 1 | 0.2% |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 2 | 0.4% |
| 7 | 3 | |
| 8 | 1 | 0.2% |
| 9 | 3 |
| Value | Count | Frequency (%) |
| 0.67 | 1 | 0.2% |
| 1 | 2 | 0.4% |
| 2 | 4 | |
| 3 | 1 | 0.2% |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 2 | 0.4% |
| 7 | 3 | |
| 8 | 1 | 0.2% |
| 9 | 3 |
| Value | Count | Frequency (%) |
| 0.42 | 1 | 0.2% |
| 0.67 | 1 | 0.2% |
| 0.75 | 2 | 0.4% |
| 0.83 | 1 | 0.2% |
| 1 | 4 | |
| 2 | 2 | 0.4% |
| 3 | 1 | 0.2% |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 2 | 0.4% |
SibSp
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 7 | 7 |
| Distinct (%) | 1.6% | 1.6% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.48430493 | 0.51793722 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 8 | 8 |
| Zeros | 308 | 308 |
| Zeros (%) | 69.1% | 69.1% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 0 | 0 |
| Q1 | 0 | 0 |
| median | 0 | 0 |
| Q3 | 1 | 1 |
| 95-th percentile | 2 | 3 |
| Maximum | 8 | 8 |
| Range | 8 | 8 |
| Interquartile range (IQR) | 1 | 1 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 1.0004383 | 1.0968356 |
| Coefficient of variation (CV) | 2.0657197 | 2.1176999 |
| Kurtosis | 17.610261 | 16.621726 |
| Mean | 0.48430493 | 0.51793722 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | 3.5668817 | 3.5670788 |
| Sum | 216 | 231 |
| Variance | 1.0008767 | 1.2030483 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 308 | |
| 1 | 104 | 23.3% |
| 2 | 12 | 2.7% |
| 3 | 11 | 2.5% |
| 4 | 6 | 1.3% |
| 5 | 3 | 0.7% |
| 8 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 308 | |
| 1 | 100 | 22.4% |
| 2 | 14 | 3.1% |
| 4 | 10 | 2.2% |
| 3 | 8 | 1.8% |
| 5 | 3 | 0.7% |
| 8 | 3 | 0.7% |
| Value | Count | Frequency (%) |
| 0 | 308 | |
| 1 | 104 | 23.3% |
| 2 | 12 | 2.7% |
| 3 | 11 | 2.5% |
| 4 | 6 | 1.3% |
| 5 | 3 | 0.7% |
| 8 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 308 | |
| 1 | 100 | 22.4% |
| 2 | 14 | 3.1% |
| 3 | 8 | 1.8% |
| 4 | 10 | 2.2% |
| 5 | 3 | 0.7% |
| 8 | 3 | 0.7% |
| Value | Count | Frequency (%) |
| 0 | 308 | |
| 1 | 100 | 22.4% |
| 2 | 14 | 3.1% |
| 3 | 8 | 1.8% |
| 4 | 10 | 2.2% |
| 5 | 3 | 0.7% |
| 8 | 3 | 0.7% |
| Value | Count | Frequency (%) |
| 0 | 308 | |
| 1 | 104 | 23.3% |
| 2 | 12 | 2.7% |
| 3 | 11 | 2.5% |
| 4 | 6 | 1.3% |
| 5 | 3 | 0.7% |
| 8 | 2 | 0.4% |
Parch
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 7 | 7 |
| Distinct (%) | 1.6% | 1.6% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.38116592 | 0.36995516 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 6 | 6 |
| Zeros | 340 | 343 |
| Zeros (%) | 76.2% | 76.9% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 0 | 0 |
| Q1 | 0 | 0 |
| median | 0 | 0 |
| Q3 | 0 | 0 |
| 95-th percentile | 2 | 2 |
| Maximum | 6 | 6 |
| Range | 6 | 6 |
| Interquartile range (IQR) | 0 | 0 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 0.82815864 | 0.79599757 |
| Coefficient of variation (CV) | 2.1726985 | 2.1516056 |
| Kurtosis | 11.842398 | 10.474245 |
| Mean | 0.38116592 | 0.36995516 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | 3.0057124 | 2.8083941 |
| Sum | 170 | 165 |
| Variance | 0.68584673 | 0.63361213 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 340 | |
| 1 | 61 | 13.7% |
| 2 | 37 | 8.3% |
| 5 | 3 | 0.7% |
| 4 | 2 | 0.4% |
| 3 | 2 | 0.4% |
| 6 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 343 | |
| 1 | 56 | 12.6% |
| 2 | 40 | 9.0% |
| 4 | 3 | 0.7% |
| 3 | 2 | 0.4% |
| 5 | 1 | 0.2% |
| 6 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 340 | |
| 1 | 61 | 13.7% |
| 2 | 37 | 8.3% |
| 3 | 2 | 0.4% |
| 4 | 2 | 0.4% |
| 5 | 3 | 0.7% |
| 6 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 343 | |
| 1 | 56 | 12.6% |
| 2 | 40 | 9.0% |
| 3 | 2 | 0.4% |
| 4 | 3 | 0.7% |
| 5 | 1 | 0.2% |
| 6 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 343 | |
| 1 | 56 | 12.6% |
| 2 | 40 | 9.0% |
| 3 | 2 | 0.4% |
| 4 | 3 | 0.7% |
| 5 | 1 | 0.2% |
| 6 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 340 | |
| 1 | 61 | 13.7% |
| 2 | 37 | 8.3% |
| 3 | 2 | 0.4% |
| 4 | 2 | 0.4% |
| 5 | 3 | 0.7% |
| 6 | 1 | 0.2% |
Ticket
['Text', 'Text']
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 380 | 382 |
| Distinct (%) | 85.2% | 85.7% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 18 | 18 |
| Median length | 17 | 17 |
| Mean length | 6.7668161 | 6.7713004 |
| Min length | 3 | 4 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 328 | 336 ? |
| Unique (%) | 73.5% | 75.3% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | 250652 | P/PP 3381 |
| 2nd row | P/PP 3381 | 347742 |
| 3rd row | 347088 | 1601 |
| 4th row | S.O.P. 1166 | 374910 |
| 5th row | 367655 | 220845 |
| Value | Count | Frequency (%) |
| pc | 27 | 4.8% |
| c.a | 12 | 2.1% |
| a/5 | 7 | 1.2% |
| ca | 6 | 1.1% |
| soton/oq | 6 | 1.1% |
| ston/o | 6 | 1.1% |
| 2 | 6 | 1.1% |
| w./c | 6 | 1.1% |
| c | 5 | 0.9% |
| soton/o.q | 5 | 0.9% |
| Other values (401) | 481 |
| Value | Count | Frequency (%) |
| pc | 32 | 5.7% |
| c.a | 11 | 2.0% |
| ca | 7 | 1.2% |
| 2 | 6 | 1.1% |
| sc/paris | 6 | 1.1% |
| a/5 | 6 | 1.1% |
| ston/o | 6 | 1.1% |
| ston/o2 | 4 | 0.7% |
| soton/oq | 4 | 0.7% |
| 19950 | 4 | 0.7% |
| Other values (402) | 477 |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 370 | |
| 1 | 355 | |
| 2 | 302 | |
| 7 | 242 | 8.0% |
| 4 | 239 | 7.9% |
| 6 | 201 | 6.7% |
| 5 | 197 | 6.5% |
| 0 | 185 | 6.1% |
| 9 | 154 | 5.1% |
| 8 | 149 | 4.9% |
| Other values (25) | 624 |
| Value | Count | Frequency (%) |
| 3 | 368 | |
| 1 | 349 | |
| 2 | 311 | |
| 7 | 239 | 7.9% |
| 4 | 235 | 7.8% |
| 6 | 208 | 6.9% |
| 0 | 207 | 6.9% |
| 5 | 194 | 6.4% |
| 9 | 171 | 5.7% |
| 8 | 133 | 4.4% |
| Other values (22) | 605 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 3018 |
| Value | Count | Frequency (%) |
| (unknown) | 3020 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 3 | 370 | |
| 1 | 355 | |
| 2 | 302 | |
| 7 | 242 | 8.0% |
| 4 | 239 | 7.9% |
| 6 | 201 | 6.7% |
| 5 | 197 | 6.5% |
| 0 | 185 | 6.1% |
| 9 | 154 | 5.1% |
| 8 | 149 | 4.9% |
| Other values (25) | 624 |
| Value | Count | Frequency (%) |
| 3 | 368 | |
| 1 | 349 | |
| 2 | 311 | |
| 7 | 239 | 7.9% |
| 4 | 235 | 7.8% |
| 6 | 208 | 6.9% |
| 0 | 207 | 6.9% |
| 5 | 194 | 6.4% |
| 9 | 171 | 5.7% |
| 8 | 133 | 4.4% |
| Other values (22) | 605 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 3018 |
| Value | Count | Frequency (%) |
| (unknown) | 3020 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 3 | 370 | |
| 1 | 355 | |
| 2 | 302 | |
| 7 | 242 | 8.0% |
| 4 | 239 | 7.9% |
| 6 | 201 | 6.7% |
| 5 | 197 | 6.5% |
| 0 | 185 | 6.1% |
| 9 | 154 | 5.1% |
| 8 | 149 | 4.9% |
| Other values (25) | 624 |
| Value | Count | Frequency (%) |
| 3 | 368 | |
| 1 | 349 | |
| 2 | 311 | |
| 7 | 239 | 7.9% |
| 4 | 235 | 7.8% |
| 6 | 208 | 6.9% |
| 0 | 207 | 6.9% |
| 5 | 194 | 6.4% |
| 9 | 171 | 5.7% |
| 8 | 133 | 4.4% |
| Other values (22) | 605 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 3018 |
| Value | Count | Frequency (%) |
| (unknown) | 3020 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 3 | 370 | |
| 1 | 355 | |
| 2 | 302 | |
| 7 | 242 | 8.0% |
| 4 | 239 | 7.9% |
| 6 | 201 | 6.7% |
| 5 | 197 | 6.5% |
| 0 | 185 | 6.1% |
| 9 | 154 | 5.1% |
| 8 | 149 | 4.9% |
| Other values (25) | 624 |
| Value | Count | Frequency (%) |
| 3 | 368 | |
| 1 | 349 | |
| 2 | 311 | |
| 7 | 239 | 7.9% |
| 4 | 235 | 7.8% |
| 6 | 208 | 6.9% |
| 0 | 207 | 6.9% |
| 5 | 194 | 6.4% |
| 9 | 171 | 5.7% |
| 8 | 133 | 4.4% |
| Other values (22) | 605 |
Fare
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 189 | 178 |
| Distinct (%) | 42.4% | 39.9% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 31.077017 | 33.698981 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 512.3292 | 512.3292 |
| Zeros | 6 | 11 |
| Zeros (%) | 1.3% | 2.5% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 7.225 | 7.05105 |
| Q1 | 7.925 | 7.8958 |
| median | 13.8604 | 14.4542 |
| Q3 | 30 | 31.359375 |
| 95-th percentile | 110.8833 | 130.2375 |
| Maximum | 512.3292 | 512.3292 |
| Range | 512.3292 | 512.3292 |
| Interquartile range (IQR) | 22.075 | 23.463575 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 46.188385 | 51.455387 |
| Coefficient of variation (CV) | 1.4862554 | 1.5269122 |
| Kurtosis | 32.29171 | 22.770471 |
| Mean | 31.077017 | 33.698981 |
| Median Absolute Deviation (MAD) | 6.6104 | 7.225 |
| Skewness | 4.5812418 | 4.0133961 |
| Sum | 13860.35 | 15029.746 |
| Variance | 2133.3669 | 2647.6568 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 8.05 | 25 | 5.6% |
| 7.75 | 20 | 4.5% |
| 7.8958 | 20 | 4.5% |
| 13 | 18 | 4.0% |
| 26 | 15 | 3.4% |
| 10.5 | 14 | 3.1% |
| 7.25 | 10 | 2.2% |
| 7.925 | 9 | 2.0% |
| 7.775 | 8 | 1.8% |
| 7.225 | 8 | 1.8% |
| Other values (179) | 299 |
| Value | Count | Frequency (%) |
| 8.05 | 25 | 5.6% |
| 13 | 23 | 5.2% |
| 7.75 | 19 | 4.3% |
| 7.8958 | 17 | 3.8% |
| 26 | 14 | 3.1% |
| 0 | 11 | 2.5% |
| 10.5 | 11 | 2.5% |
| 7.925 | 10 | 2.2% |
| 26.55 | 10 | 2.2% |
| 7.2292 | 9 | 2.0% |
| Other values (168) | 297 |
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 4.0125 | 1 | 0.2% |
| 5 | 1 | 0.2% |
| 6.2375 | 1 | 0.2% |
| 6.45 | 1 | 0.2% |
| 6.4958 | 2 | 0.4% |
| 6.75 | 2 | 0.4% |
| 6.95 | 1 | 0.2% |
| 7.05 | 4 | |
| 7.0542 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 11 | |
| 4.0125 | 1 | 0.2% |
| 6.2375 | 1 | 0.2% |
| 6.4375 | 1 | 0.2% |
| 6.45 | 1 | 0.2% |
| 6.4958 | 1 | 0.2% |
| 6.75 | 1 | 0.2% |
| 6.8583 | 1 | 0.2% |
| 6.95 | 1 | 0.2% |
| 6.975 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 11 | |
| 4.0125 | 1 | 0.2% |
| 6.2375 | 1 | 0.2% |
| 6.4375 | 1 | 0.2% |
| 6.45 | 1 | 0.2% |
| 6.4958 | 1 | 0.2% |
| 6.75 | 1 | 0.2% |
| 6.8583 | 1 | 0.2% |
| 6.95 | 1 | 0.2% |
| 6.975 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 4.0125 | 1 | 0.2% |
| 5 | 1 | 0.2% |
| 6.2375 | 1 | 0.2% |
| 6.45 | 1 | 0.2% |
| 6.4958 | 2 | 0.4% |
| 6.75 | 2 | 0.4% |
| 6.95 | 1 | 0.2% |
| 7.05 | 4 | |
| 7.0542 | 1 | 0.2% |
Cabin
['Text', 'Text']
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 83 | 85 |
| Distinct (%) | 86.5% | 81.7% |
| Missing | 350 | 342 |
| Missing (%) | 78.5% | 76.7% |
| Memory size | 7.0 KiB | 7.0 KiB |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 11 | 15 |
| Median length | 3 | 3 |
| Mean length | 3.6145833 | 3.6634615 |
| Min length | 1 | 1 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 71 | 69 ? |
| Unique (%) | 74.0% | 66.3% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | C54 | C93 |
| 2nd row | C2 | F E69 |
| 3rd row | D36 | E17 |
| 4th row | E67 | D35 |
| 5th row | F G73 | B101 |
| Value | Count | Frequency (%) |
| c23 | 3 | 2.7% |
| c25 | 3 | 2.7% |
| c27 | 3 | 2.7% |
| c93 | 2 | 1.8% |
| d35 | 2 | 1.8% |
| b28 | 2 | 1.8% |
| b22 | 2 | 1.8% |
| b96 | 2 | 1.8% |
| b98 | 2 | 1.8% |
| d26 | 2 | 1.8% |
| Other values (82) | 89 |
| Value | Count | Frequency (%) |
| c23 | 4 | 3.3% |
| c25 | 4 | 3.3% |
| c27 | 4 | 3.3% |
| b96 | 3 | 2.4% |
| b98 | 3 | 2.4% |
| b58 | 2 | 1.6% |
| b60 | 2 | 1.6% |
| b20 | 2 | 1.6% |
| f4 | 2 | 1.6% |
| c124 | 2 | 1.6% |
| Other values (84) | 95 |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 43 | |
| C | 35 | 10.1% |
| 3 | 29 | 8.4% |
| B | 28 | 8.1% |
| 1 | 25 | 7.2% |
| 6 | 22 | 6.3% |
| 5 | 21 | 6.1% |
| 8 | 20 | 5.8% |
| 7 | 17 | 4.9% |
| 16 | 4.6% | |
| Other values (8) | 91 |
| Value | Count | Frequency (%) |
| C | 40 | |
| 2 | 38 | 10.0% |
| B | 35 | 9.2% |
| 3 | 33 | 8.7% |
| 1 | 27 | 7.1% |
| 6 | 26 | 6.8% |
| 5 | 24 | 6.3% |
| 4 | 22 | 5.8% |
| 9 | 19 | 5.0% |
| 19 | 5.0% | |
| Other values (8) | 98 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 347 |
| Value | Count | Frequency (%) |
| (unknown) | 381 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 2 | 43 | |
| C | 35 | 10.1% |
| 3 | 29 | 8.4% |
| B | 28 | 8.1% |
| 1 | 25 | 7.2% |
| 6 | 22 | 6.3% |
| 5 | 21 | 6.1% |
| 8 | 20 | 5.8% |
| 7 | 17 | 4.9% |
| 16 | 4.6% | |
| Other values (8) | 91 |
| Value | Count | Frequency (%) |
| C | 40 | |
| 2 | 38 | 10.0% |
| B | 35 | 9.2% |
| 3 | 33 | 8.7% |
| 1 | 27 | 7.1% |
| 6 | 26 | 6.8% |
| 5 | 24 | 6.3% |
| 4 | 22 | 5.8% |
| 9 | 19 | 5.0% |
| 19 | 5.0% | |
| Other values (8) | 98 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 347 |
| Value | Count | Frequency (%) |
| (unknown) | 381 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 2 | 43 | |
| C | 35 | 10.1% |
| 3 | 29 | 8.4% |
| B | 28 | 8.1% |
| 1 | 25 | 7.2% |
| 6 | 22 | 6.3% |
| 5 | 21 | 6.1% |
| 8 | 20 | 5.8% |
| 7 | 17 | 4.9% |
| 16 | 4.6% | |
| Other values (8) | 91 |
| Value | Count | Frequency (%) |
| C | 40 | |
| 2 | 38 | 10.0% |
| B | 35 | 9.2% |
| 3 | 33 | 8.7% |
| 1 | 27 | 7.1% |
| 6 | 26 | 6.8% |
| 5 | 24 | 6.3% |
| 4 | 22 | 5.8% |
| 9 | 19 | 5.0% |
| 19 | 5.0% | |
| Other values (8) | 98 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 347 |
| Value | Count | Frequency (%) |
| (unknown) | 381 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 2 | 43 | |
| C | 35 | 10.1% |
| 3 | 29 | 8.4% |
| B | 28 | 8.1% |
| 1 | 25 | 7.2% |
| 6 | 22 | 6.3% |
| 5 | 21 | 6.1% |
| 8 | 20 | 5.8% |
| 7 | 17 | 4.9% |
| 16 | 4.6% | |
| Other values (8) | 91 |
| Value | Count | Frequency (%) |
| C | 40 | |
| 2 | 38 | 10.0% |
| B | 35 | 9.2% |
| 3 | 33 | 8.7% |
| 1 | 27 | 7.1% |
| 6 | 26 | 6.8% |
| 5 | 24 | 6.3% |
| 4 | 22 | 5.8% |
| 9 | 19 | 5.0% |
| 19 | 5.0% | |
| Other values (8) | 98 |
Embarked
Categorical
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 3 | 3 |
| Distinct (%) | 0.7% | 0.7% |
| Missing | 2 | 1 |
| Missing (%) | 0.4% | 0.2% |
| Memory size | 7.0 KiB | 7.0 KiB |
| S | |
|---|---|
| C | |
| Q |
| S | |
|---|---|
| C | |
| Q |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 1 | 1 |
| Median length | 1 | 1 |
| Mean length | 1 | 1 |
| Min length | 1 | 1 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | S | C |
| 2nd row | C | S |
| 3rd row | S | S |
| 4th row | S | S |
| 5th row | Q | S |
Common Values
| Value | Count | Frequency (%) |
| S | 322 | |
| C | 82 | 18.4% |
| Q | 40 | 9.0% |
| (Missing) | 2 | 0.4% |
| Value | Count | Frequency (%) |
| S | 320 | |
| C | 88 | 19.7% |
| Q | 37 | 8.3% |
| (Missing) | 1 | 0.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
Dataset A
Dataset B
| Value | Count | Frequency (%) |
| s | 322 | |
| c | 82 | 18.5% |
| q | 40 | 9.0% |
| Value | Count | Frequency (%) |
| s | 320 | |
| c | 88 | 19.8% |
| q | 37 | 8.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| S | 322 | |
| C | 82 | 18.5% |
| Q | 40 | 9.0% |
| Value | Count | Frequency (%) |
| S | 320 | |
| C | 88 | 19.8% |
| Q | 37 | 8.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 444 |
| Value | Count | Frequency (%) |
| (unknown) | 445 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| S | 322 | |
| C | 82 | 18.5% |
| Q | 40 | 9.0% |
| Value | Count | Frequency (%) |
| S | 320 | |
| C | 88 | 19.8% |
| Q | 37 | 8.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 444 |
| Value | Count | Frequency (%) |
| (unknown) | 445 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| S | 322 | |
| C | 82 | 18.5% |
| Q | 40 | 9.0% |
| Value | Count | Frequency (%) |
| S | 320 | |
| C | 88 | 19.8% |
| Q | 37 | 8.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 444 |
| Value | Count | Frequency (%) |
| (unknown) | 445 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| S | 322 | |
| C | 82 | 18.5% |
| Q | 40 | 9.0% |
| Value | Count | Frequency (%) |
| S | 320 | |
| C | 88 | 19.8% |
| Q | 37 | 8.3% |
Interactions
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Correlations
Dataset A
Dataset B
Dataset A
| Age | Embarked | Fare | Parch | PassengerId | Pclass | Sex | SibSp | Survived | |
|---|---|---|---|---|---|---|---|---|---|
| Age | 1.000 | 0.000 | 0.119 | -0.213 | 0.033 | 0.209 | 0.181 | -0.169 | 0.169 |
| Embarked | 0.000 | 1.000 | 0.144 | 0.080 | 0.000 | 0.245 | 0.166 | 0.079 | 0.167 |
| Fare | 0.119 | 0.144 | 1.000 | 0.439 | -0.068 | 0.469 | 0.169 | 0.432 | 0.250 |
| Parch | -0.213 | 0.080 | 0.439 | 1.000 | -0.028 | 0.000 | 0.249 | 0.486 | 0.159 |
| PassengerId | 0.033 | 0.000 | -0.068 | -0.028 | 1.000 | 0.000 | 0.000 | -0.075 | 0.000 |
| Pclass | 0.209 | 0.245 | 0.469 | 0.000 | 0.000 | 1.000 | 0.084 | 0.123 | 0.307 |
| Sex | 0.181 | 0.166 | 0.169 | 0.249 | 0.000 | 0.084 | 1.000 | 0.218 | 0.527 |
| SibSp | -0.169 | 0.079 | 0.432 | 0.486 | -0.075 | 0.123 | 0.218 | 1.000 | 0.191 |
| Survived | 0.169 | 0.167 | 0.250 | 0.159 | 0.000 | 0.307 | 0.527 | 0.191 | 1.000 |
Dataset B
| Age | Embarked | Fare | Parch | PassengerId | Pclass | Sex | SibSp | Survived | |
|---|---|---|---|---|---|---|---|---|---|
| Age | 1.000 | 0.000 | 0.093 | -0.216 | -0.025 | 0.259 | 0.051 | -0.231 | 0.100 |
| Embarked | 0.000 | 1.000 | 0.214 | 0.000 | 0.000 | 0.236 | 0.102 | 0.107 | 0.187 |
| Fare | 0.093 | 0.214 | 1.000 | 0.426 | -0.006 | 0.454 | 0.231 | 0.439 | 0.347 |
| Parch | -0.216 | 0.000 | 0.426 | 1.000 | 0.015 | 0.000 | 0.272 | 0.487 | 0.158 |
| PassengerId | -0.025 | 0.000 | -0.006 | 0.015 | 1.000 | 0.033 | 0.154 | -0.074 | 0.150 |
| Pclass | 0.259 | 0.236 | 0.454 | 0.000 | 0.033 | 1.000 | 0.104 | 0.140 | 0.351 |
| Sex | 0.051 | 0.102 | 0.231 | 0.272 | 0.154 | 0.104 | 1.000 | 0.172 | 0.535 |
| SibSp | -0.231 | 0.107 | 0.439 | 0.487 | -0.074 | 0.140 | 0.172 | 1.000 | 0.175 |
| Survived | 0.100 | 0.187 | 0.347 | 0.158 | 0.150 | 0.351 | 0.535 | 0.175 | 1.000 |
Missing values
Dataset A
A simple visualization of nullity by column.
Dataset B
A simple visualization of nullity by column.
Dataset A
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Dataset B
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Dataset A
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
Dataset B
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
Sample
Dataset A
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 417 | 418 | 1 | 2 | Silven, Miss. Lyyli Karoliina | female | 18.0 | 0 | 2 | 250652 | 13.0000 | NaN | S |
| 874 | 875 | 1 | 2 | Abelson, Mrs. Samuel (Hannah Wizosky) | female | 28.0 | 1 | 0 | P/PP 3381 | 24.0000 | NaN | C |
| 819 | 820 | 0 | 3 | Skoog, Master. Karl Thorsten | male | 10.0 | 3 | 2 | 347088 | 27.9000 | NaN | S |
| 150 | 151 | 0 | 2 | Bateman, Rev. Robert James | male | 51.0 | 0 | 0 | S.O.P. 1166 | 12.5250 | NaN | S |
| 388 | 389 | 0 | 3 | Sadlier, Mr. Matthew | male | NaN | 0 | 0 | 367655 | 7.7292 | NaN | Q |
| 888 | 889 | 0 | 3 | Johnston, Miss. Catherine Helen "Carrie" | female | NaN | 1 | 2 | W./C. 6607 | 23.4500 | NaN | S |
| 622 | 623 | 1 | 3 | Nakid, Mr. Sahid | male | 20.0 | 1 | 1 | 2653 | 15.7417 | NaN | C |
| 310 | 311 | 1 | 1 | Hays, Miss. Margaret Bechstein | female | 24.0 | 0 | 0 | 11767 | 83.1583 | C54 | C |
| 202 | 203 | 0 | 3 | Johanson, Mr. Jakob Alfred | male | 34.0 | 0 | 0 | 3101264 | 6.4958 | NaN | S |
| 603 | 604 | 0 | 3 | Torber, Mr. Ernst William | male | 44.0 | 0 | 0 | 364511 | 8.0500 | NaN | S |
Dataset B
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 874 | 875 | 1 | 2 | Abelson, Mrs. Samuel (Hannah Wizosky) | female | 28.0 | 1 | 0 | P/PP 3381 | 24.0000 | NaN | C |
| 8 | 9 | 1 | 3 | Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) | female | 27.0 | 0 | 2 | 347742 | 11.1333 | NaN | S |
| 692 | 693 | 1 | 3 | Lam, Mr. Ali | male | NaN | 0 | 0 | 1601 | 56.4958 | NaN | S |
| 95 | 96 | 0 | 3 | Shorney, Mr. Charles Joseph | male | NaN | 0 | 0 | 374910 | 8.0500 | NaN | S |
| 754 | 755 | 1 | 2 | Herman, Mrs. Samuel (Jane Laver) | female | 48.0 | 1 | 2 | 220845 | 65.0000 | NaN | S |
| 39 | 40 | 1 | 3 | Nicola-Yarred, Miss. Jamila | female | 14.0 | 1 | 0 | 2651 | 11.2417 | NaN | C |
| 26 | 27 | 0 | 3 | Emir, Mr. Farred Chehab | male | NaN | 0 | 0 | 2631 | 7.2250 | NaN | C |
| 224 | 225 | 1 | 1 | Hoyt, Mr. Frederick Maxfield | male | 38.0 | 1 | 0 | 19943 | 90.0000 | C93 | S |
| 422 | 423 | 0 | 3 | Zimmerman, Mr. Leo | male | 29.0 | 0 | 0 | 315082 | 7.8750 | NaN | S |
| 128 | 129 | 1 | 3 | Peter, Miss. Anna | female | NaN | 1 | 1 | 2668 | 22.3583 | F E69 | C |
Dataset A
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 867 | 868 | 0 | 1 | Roebling, Mr. Washington Augustus II | male | 31.0 | 0 | 0 | PC 17590 | 50.4958 | A24 | S |
| 136 | 137 | 1 | 1 | Newsom, Miss. Helen Monypeny | female | 19.0 | 0 | 2 | 11752 | 26.2833 | D47 | S |
| 502 | 503 | 0 | 3 | O'Sullivan, Miss. Bridget Mary | female | NaN | 0 | 0 | 330909 | 7.6292 | NaN | Q |
| 308 | 309 | 0 | 2 | Abelson, Mr. Samuel | male | 30.0 | 1 | 0 | P/PP 3381 | 24.0000 | NaN | C |
| 338 | 339 | 1 | 3 | Dahl, Mr. Karl Edwart | male | 45.0 | 0 | 0 | 7598 | 8.0500 | NaN | S |
| 572 | 573 | 1 | 1 | Flynn, Mr. John Irwin ("Irving") | male | 36.0 | 0 | 0 | PC 17474 | 26.3875 | E25 | S |
| 566 | 567 | 0 | 3 | Stoytcheff, Mr. Ilia | male | 19.0 | 0 | 0 | 349205 | 7.8958 | NaN | S |
| 328 | 329 | 1 | 3 | Goldsmith, Mrs. Frank John (Emily Alice Brown) | female | 31.0 | 1 | 1 | 363291 | 20.5250 | NaN | S |
| 449 | 450 | 1 | 1 | Peuchen, Major. Arthur Godfrey | male | 52.0 | 0 | 0 | 113786 | 30.5000 | C104 | S |
| 736 | 737 | 0 | 3 | Ford, Mrs. Edward (Margaret Ann Watson) | female | 48.0 | 1 | 3 | W./C. 6608 | 34.3750 | NaN | S |
Dataset B
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 442 | 443 | 0 | 3 | Petterson, Mr. Johan Emil | male | 25.0 | 1 | 0 | 347076 | 7.7750 | NaN | S |
| 228 | 229 | 0 | 2 | Fahlstrom, Mr. Arne Jonas | male | 18.0 | 0 | 0 | 236171 | 13.0000 | NaN | S |
| 443 | 444 | 1 | 2 | Reynaldo, Ms. Encarnacion | female | 28.0 | 0 | 0 | 230434 | 13.0000 | NaN | S |
| 198 | 199 | 1 | 3 | Madigan, Miss. Margaret "Maggie" | female | NaN | 0 | 0 | 370370 | 7.7500 | NaN | Q |
| 141 | 142 | 1 | 3 | Nysten, Miss. Anna Sofia | female | 22.0 | 0 | 0 | 347081 | 7.7500 | NaN | S |
| 493 | 494 | 0 | 1 | Artagaveytia, Mr. Ramon | male | 71.0 | 0 | 0 | PC 17609 | 49.5042 | NaN | C |
| 547 | 548 | 1 | 2 | Padro y Manent, Mr. Julian | male | NaN | 0 | 0 | SC/PARIS 2146 | 13.8625 | NaN | C |
| 561 | 562 | 0 | 3 | Sivic, Mr. Husein | male | 40.0 | 0 | 0 | 349251 | 7.8958 | NaN | S |
| 802 | 803 | 1 | 1 | Carter, Master. William Thornton II | male | 11.0 | 1 | 2 | 113760 | 120.0000 | B96 B98 | S |
| 461 | 462 | 0 | 3 | Morley, Mr. William | male | 34.0 | 0 | 0 | 364506 | 8.0500 | NaN | S |
Duplicate rows
Dataset A
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dataset does not contain duplicate rows. | |||||||||||||
Dataset B
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dataset does not contain duplicate rows. | |||||||||||||